PureCloudPlatformClientV2 throws a 422 every time I push the Data Actions write payload through the Go client, specifically when the record value matrix hits the maximum transaction size limits. The write validation logic for foreign key checking can’t parse the matrix, so the atomic POST with format verification just bails out before the automatic commit verification triggers.
I’m constructing the JSON with the connector ID references like this:
The webhook callbacks for the external warehousing sync don’t fire, and the write audit logs only flag a data type casting error on the second iteration.
The transaction size limit is strict in the pipeline. You push the whole matrix at once. The parser chokes on foreign key validation when the batch crosses the threshold. It’s better to split the data before the POST call.
batchSize := 250
var records []*platformclientv2.Record
for i := 0; i < len(inputData); i += batchSize {
end := i + batchSize
if end > len(inputData) {
end = len(inputData)
}
chunk := inputData[i:end]
for _, item := range chunk {
rec := &platformclientv2.Record{
ConnectorId: platformclientv2.String(item.ConnectorID),
Data: item.DataPayload,
}
records = append(records, rec)
}
body := &platformclientv2.Writerecordsrequest{
Records: records,
}
_, _, err := analyticsApi.WriteDataDomainRecords(ctx, dataDomainID, body)
if err != nil {
fmt.Printf("batch failed: %v\n", err)
return
}
records = nil
}
Chunk the matrix before sending. The endpoint rejects payloads over 500KB or 1000 records.
Validate the connectorId against the exact string from your integration setup. Foreign key errors happen when the reference uses internal UUIDs instead of the external identifier.
Reset the slice after each successful POST. The Go SDK keeps the pointer reference if you don’t clear it, which causes duplicate keys in the next iteration.
You’ll see the 422 disappear once the atomic commit runs on smaller batches. The foreign key parser only checks the first batch if the transaction is too large, so splitting it forces a full validation pass. Honestly, the 422 is just the engine protecting itself from memory spikes.
Make sure your OAuth token has the analytics:datadomain:write scope attached. Sometimes the implicit grant drops it after refresh. The SDK doesn’t complain until the actual write hits the gateway.
batchSize := 200
for i := 0; i < len(inputData); i += batchSize {
end := i + batchSize
if end > len(inputData) {
end = len(inputData)
}
chunk := inputData[i:end]
payload := map[string]interface{}{
"connectorId": "your-connector-id",
"records": chunk,
}
_, err := client.DataActionsApi.PostDataActionsWrite().PostDataActionsWriteRequest(payload).Execute()
if err != nil {
log.Printf("chunk %d failed: %v", i/batchSize, err)
time.Sleep(500 * time.Millisecond)
}
}
You’re hitting the 422 because the Go SDK serializes the entire matrix into a single JSON blob before the HTTP client even sends it. The foreign key validator on the backend rejects payloads that exceed the internal buffer limit. Your current loop doesn’t actually break the reference chain. Keep the chunks under two hundred records. That bypasses the validation buffer. How are you routing the validation errors right now?
The real trap starts when you run this loop in the same goroutine as your Notification API connection. You’ll starve the ping/pong handler. The Go runtime won’t process incoming ping frames while the HTTP client crunches through serialization. Your WebSocket drops after thirty seconds. The auto-reconnect then floods the server with duplicate subscription requests. Run the batch in a separate worker pool or call runtime.Gosched() between iterations. Check your ping interval config before you blame the batch size.